

Study with the several resources on Docsity
Earn points by helping other students or get them with a premium plan
Prepare for your exams
Study with the several resources on Docsity
Earn points to download
Earn points by helping other students or get them with a premium plan
Community
Ask the community for help and clear up your study doubts
Discover the best universities in your country according to Docsity users
Free resources
Download our free guides on studying techniques, anxiety management strategies, and thesis advice from Docsity tutors
A checklist for the Computer Engineering Master of Science degree program at Columbia University. It outlines the core courses, other courses approved by an advisor, and the requirements for completion of the program. The document also specifies the GPA minimum, the maximum number of research and nontechnical courses, and the time limit for completion. The document emphasizes that courses with material typically found in undergraduate engineering programs will not be credited. A copy of an approved BS excess sheet must be attached if some courses listed were taken during the BS.
Typology: Study notes
1 / 2
This page cannot be seen from the preview
Don't miss anything!
Pts.
Note: If some courses listed were taken during the BS, a copy of an approved BS excess sheet must be attached
for the Department for the Dean
Date: Date:
Total points:
Approved:
(Other courses, approved by an advisor)
COMPUTER ENGINEERING MASTER OF SCIENCE DEGREE PROGRAM CHECKLIST, Updated May, 2019 COLUMBIA UNIVERSITY Student: (please print) UNI:
Courses CHECKLIST
(Core courses)
EECS E4750 COMS E6424 Hardware Security
Formal Verification of Hardware & Software Systems System-on-chip Platforms Embedded scalable platforms
Computer networks
Networking laboratory
Modeling and performance evaluation
Digital VLSI circuits
Advanced digital electronic circuits
Hybrid Computing for Signal & Data Processing
VLSI Hardware Architecture for Signal
Internet of Things – Intelligent & Connected Systems
Internet of Things - Systems & Physical Data Analytics Advanced logic design Parallel computer architecture
Computer architecture Computer-aided design of digital systems Embedded systems
Wireless Networks & Systems